Job Specifications
About Maze
Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development.
In most companies, research demand far exceeds supply. Time, cost, and lack of access to expertise hold teams back. In today's AI-powered world, anyone can build a product fast. The real challenge? Deeply understanding user needs and building the right product. That's where Maze comes in.
We believe companies shouldn't have to choose between building fast and building right. Maze makes research accessible, intuitive, and fast so product teams can put user insights at the center of every decision.
Our platform enables researchers, designers, and product managers to quickly recruit participants, run studies autonomously, and surface insights that actually drive product decisions. Our AI capabilities automate the busywork and add depth and direction to the insights themselves.
That's why Maze was recently named the #1 user research platform in UX Tools' Design Tools Survey--and why we're scaling fast across industries like B2B SaaS, e-Commerce, Financial Services, Retail, and Automotive, supporting world class customers such as Uber, Amazon, Atlassian, Anthropic & more.
Maze is a Series B company backed by top-tier investors (Felicis, Emergence & Amplify). We operate a global remote workforce driven by our core values.
The Role
As a Staff Engineer on the Developer Experience team, you'll be the technical enabler of our AI future. You'll work at the intersection of infrastructure, tooling, and AI systems to create the developer experience that allows our engineering teams to build, deploy, and iterate on AI features at scale. This is a hands-on technical leadership role where you'll both architect solutions and write code while mentoring engineers across the organization.
You'll have a proven track record of enabling teams to move faster and deliver higher quality through technical leadership, developer tooling, and infrastructure improvements.
Location: Remote, Preference for USA/East Coast, United Kingdom, or Portugal. The company's key engineering and product teams are based in Europe and Portugal.
What You'll Do:
Technical Leadership & Architecture
Design and build developer tools, frameworks, and infrastructure that enable rapid software development
Architect scalable pipelines, low-latency infrastructure, and testing platforms; preferably using AWS services
Lead technical decisions around AI tooling, and developer workflows
Drive technical standards and best practices for AI development across engineering teams
Help establish technical roadmaps that balance innovation with stability and developer productivity
AI Enablement & Developer Experience
Ensure the local development environment is developer-friendly, and that onboarding and documentation for services are up to date
Establish CI/CD pipelines optimized for AI workloads
Design monitoring, observability, and debugging tools for AI systems that improve developer velocity
Build automation and tooling that reduces manual work and accelerates feature delivery
Team Enablement & Speed
Identify and eliminate friction points in the development process that slow down engineering teams
Build and optimize development workflows, testing frameworks, and deployment processes
Create self-service tools and platforms that enable teams to be autonomous and move faster
Implement metrics and monitoring to measure and improve team velocity and code quality
Drive adoption of best practices that improve both development speed and software quality
Cross-Functional Collaboration
Partner with product teams to understand their requirements ensure they have the necessary infrastructure in place to succeed
Collaborate with infrastructure teams to ensure scalable AI infrastructure on AWS
Mentor and guide engineers across teams on AI best practices, tooling, and JavaScript/TypeScript monostack development
Influence technical strategy across the organization through technical leadership and expertise
Technical Innovation
Research and evaluate emerging AI technologies, frameworks, and development practices
Prototype new developer tools and workflows that improve AI development velocity
Drive adoption of best practices for AI model lifecycle management, versioning, and governance
Contribute to technical strategy and roadmap for AI infrastructure and tooling
What We're Looking For:
Experience & Technical Excellence
8+ years of software engineering experience with a track record of building scalable, production systems
3+ years of experience specifically in Developer Experience or Platform Engineering
Experience with teams working in a TypeScript monorepo that have built complex web applications
Strong AWS Cloud experience and architectures
Proven track record of enabling team velocity and quality through technical leadership and tooling improvements
Leadership & Impact
Demonstrated ability to
About the Company
Maze is the user research platform that makes products work for people. Maze empowers any company to build the right products faster by making user insights available at the speed of product development. Built for ease of use, Maze allows designers, product managers, and researchers to collect and share user insights when needed most, putting them at the center of every decision.
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